High Performance Computing (HPC) and parallel programming techniques underpin many of today’s most demanding computational tasks, from complex scientific simulations to data-intensive analytics ...

Prof. Peng Xie remarked: “We demonstrated parallel optical computing system capable of 100-wavelength multiplexing, paving a new path to scaling up optical computility.

Both parallel programming and asynchronous programming are examples of concurrent programming, meaning more than one operation is running at the same time. Parallel programming is a more specific form ...

This primer is tailored for individuals new to macroeconomic policy analysis, including policymakers, economic analysts, and other professionals seeking to deepen their understanding of macroeconomic ...

This paper describes how we use n-body simulations as an interesting and visually compelling way to teach efficient, parallel, and distributed programming. Our first course focuses on bachelor ...

Parallel programming is a powerful tool for computing tasks faster and more efficiently. Teaching an introduction to parallel programming requires explaining the fundamentals of parallelism, the ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel ...